[2026-04-15T15:05:31.128Z] Running test renaissance-movie-lens_0 ... [2026-04-15T15:05:31.128Z] =============================================== [2026-04-15T15:05:31.128Z] renaissance-movie-lens_0 Start Time: Wed Apr 15 15:05:33 2026 Epoch Time (ms): 1776265533617 [2026-04-15T15:05:31.128Z] variation: NoOptions [2026-04-15T15:05:31.128Z] JVM_OPTIONS: [2026-04-15T15:05:31.128Z] { \ [2026-04-15T15:05:31.128Z] echo ""; echo "TEST SETUP:"; \ [2026-04-15T15:05:31.128Z] echo "Nothing to be done for setup."; \ [2026-04-15T15:05:31.128Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1776264406453/renaissance-movie-lens_0"; \ [2026-04-15T15:05:31.128Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1776264406453/renaissance-movie-lens_0"; \ [2026-04-15T15:05:31.128Z] echo ""; echo "TESTING:"; \ [2026-04-15T15:05:31.129Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1776264406453/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-15T15:05:31.129Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1776264406453/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-15T15:05:31.129Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-15T15:05:31.129Z] echo "Nothing to be done for teardown."; \ [2026-04-15T15:05:31.129Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_1776264406453/TestTargetResult"; [2026-04-15T15:05:31.129Z] [2026-04-15T15:05:31.129Z] TEST SETUP: [2026-04-15T15:05:31.129Z] Nothing to be done for setup. [2026-04-15T15:05:31.129Z] [2026-04-15T15:05:31.129Z] TESTING: [2026-04-15T15:05:32.078Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-04-15T15:05:32.078Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_ppc64_aix/aqa-tests/TKG/output_1776264406453/renaissance-movie-lens_0/launcher-150533-1712607355954119102/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-04-15T15:05:32.078Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-04-15T15:05:32.078Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-04-15T15:05:53.406Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-04-15T15:06:04.985Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-15T15:06:04.985Z] Training: 60056, validation: 20285, test: 19854 [2026-04-15T15:06:04.985Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-15T15:06:04.985Z] GC before operation: completed in 142.601 ms, heap usage 510.745 MB -> 75.191 MB. [2026-04-15T15:06:10.352Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:06:13.390Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:06:17.569Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:06:21.739Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:06:22.709Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:06:25.727Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:06:27.684Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:06:29.639Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:06:29.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:06:30.619Z] The best model improves the baseline by 14.43%. [2026-04-15T15:06:30.619Z] Top recommended movies for user id 72: [2026-04-15T15:06:30.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:06:30.619Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:06:30.619Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:06:30.619Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:06:30.619Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:06:30.619Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25973.199 ms) ====== [2026-04-15T15:06:30.619Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-15T15:06:30.619Z] GC before operation: completed in 152.118 ms, heap usage 370.350 MB -> 86.626 MB. [2026-04-15T15:06:33.633Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:06:37.849Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:06:40.894Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:06:44.477Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:06:46.431Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:06:48.389Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:06:52.547Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:06:54.506Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:06:54.506Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:06:54.506Z] The best model improves the baseline by 14.43%. [2026-04-15T15:06:54.506Z] Top recommended movies for user id 72: [2026-04-15T15:06:54.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:06:54.506Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:06:54.506Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:06:54.506Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:06:54.506Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:06:54.506Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24156.307 ms) ====== [2026-04-15T15:06:54.506Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-15T15:06:54.506Z] GC before operation: completed in 156.613 ms, heap usage 432.181 MB -> 89.738 MB. [2026-04-15T15:06:57.540Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:07:00.559Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:07:04.894Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:07:06.844Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:07:08.810Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:07:10.759Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:07:12.710Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:07:14.666Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:07:14.666Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:07:14.666Z] The best model improves the baseline by 14.43%. [2026-04-15T15:07:14.666Z] Top recommended movies for user id 72: [2026-04-15T15:07:14.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:07:14.666Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:07:14.666Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:07:14.666Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:07:14.666Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:07:14.666Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19979.769 ms) ====== [2026-04-15T15:07:14.666Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-15T15:07:14.666Z] GC before operation: completed in 165.430 ms, heap usage 3.182 GB -> 96.786 MB. [2026-04-15T15:07:17.691Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:07:20.720Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:07:24.907Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:07:27.924Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:07:29.880Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:07:31.840Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:07:33.799Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:07:35.766Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:07:35.766Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:07:35.766Z] The best model improves the baseline by 14.43%. [2026-04-15T15:07:36.766Z] Top recommended movies for user id 72: [2026-04-15T15:07:36.766Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:07:36.766Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:07:36.766Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:07:36.766Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:07:36.766Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:07:36.766Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21343.239 ms) ====== [2026-04-15T15:07:36.766Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-15T15:07:36.766Z] GC before operation: completed in 148.294 ms, heap usage 192.667 MB -> 93.831 MB. [2026-04-15T15:07:39.779Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:07:42.792Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:07:45.809Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:07:48.835Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:07:51.026Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:07:52.977Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:07:55.993Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:07:57.950Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:07:57.950Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:07:57.950Z] The best model improves the baseline by 14.43%. [2026-04-15T15:07:58.900Z] Top recommended movies for user id 72: [2026-04-15T15:07:58.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:07:58.900Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:07:58.900Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:07:58.900Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:07:58.900Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:07:58.900Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22161.037 ms) ====== [2026-04-15T15:07:58.900Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-15T15:07:58.900Z] GC before operation: completed in 152.525 ms, heap usage 320.134 MB -> 90.370 MB. [2026-04-15T15:08:01.915Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:08:04.942Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:08:09.101Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:08:12.165Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:08:14.117Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:08:16.064Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:08:18.018Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:08:19.991Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:08:20.941Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:08:20.941Z] The best model improves the baseline by 14.43%. [2026-04-15T15:08:20.941Z] Top recommended movies for user id 72: [2026-04-15T15:08:20.941Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:08:20.941Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:08:20.941Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:08:20.941Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:08:20.941Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:08:20.941Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21865.960 ms) ====== [2026-04-15T15:08:20.941Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-15T15:08:20.941Z] GC before operation: completed in 169.128 ms, heap usage 1.892 GB -> 96.699 MB. [2026-04-15T15:08:23.952Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:08:26.966Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:08:31.140Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:08:33.094Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:08:35.050Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:08:37.001Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:08:38.956Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:08:40.956Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:08:41.915Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:08:41.915Z] The best model improves the baseline by 14.43%. [2026-04-15T15:08:41.915Z] Top recommended movies for user id 72: [2026-04-15T15:08:41.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:08:41.915Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:08:41.915Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:08:41.915Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:08:41.915Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:08:41.915Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21039.535 ms) ====== [2026-04-15T15:08:41.915Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-15T15:08:41.915Z] GC before operation: completed in 140.562 ms, heap usage 117.428 MB -> 91.562 MB. [2026-04-15T15:08:44.937Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:08:47.974Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:08:53.337Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:08:55.292Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:08:57.850Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:08:58.805Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:09:00.757Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:09:02.721Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:09:02.721Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:09:02.721Z] The best model improves the baseline by 14.43%. [2026-04-15T15:09:03.687Z] Top recommended movies for user id 72: [2026-04-15T15:09:03.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:09:03.687Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:09:03.687Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:09:03.687Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:09:03.687Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:09:03.687Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21285.641 ms) ====== [2026-04-15T15:09:03.687Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-15T15:09:03.687Z] GC before operation: completed in 140.736 ms, heap usage 317.250 MB -> 91.233 MB. [2026-04-15T15:09:06.702Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:09:09.733Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:09:13.878Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:09:16.892Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:09:18.841Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:09:20.804Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:09:22.766Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:09:24.721Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:09:24.721Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:09:25.692Z] The best model improves the baseline by 14.43%. [2026-04-15T15:09:25.693Z] Top recommended movies for user id 72: [2026-04-15T15:09:25.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:09:25.693Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:09:25.693Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:09:25.693Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:09:25.693Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:09:25.693Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22028.835 ms) ====== [2026-04-15T15:09:25.693Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-15T15:09:25.693Z] GC before operation: completed in 161.609 ms, heap usage 224.112 MB -> 90.841 MB. [2026-04-15T15:09:28.704Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:09:31.722Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:09:35.875Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:09:38.895Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:09:40.847Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:09:42.808Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:09:44.767Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:09:46.736Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:09:46.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:09:46.736Z] The best model improves the baseline by 14.43%. [2026-04-15T15:09:46.736Z] Top recommended movies for user id 72: [2026-04-15T15:09:46.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:09:46.736Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:09:46.736Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:09:46.736Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:09:46.736Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:09:46.736Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21538.018 ms) ====== [2026-04-15T15:09:46.736Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-15T15:09:47.688Z] GC before operation: completed in 166.840 ms, heap usage 1004.906 MB -> 95.186 MB. [2026-04-15T15:09:50.713Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:09:53.728Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:09:56.771Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:09:59.800Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:10:01.755Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:10:03.952Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:10:06.965Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:10:08.947Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:10:09.902Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:10:09.902Z] The best model improves the baseline by 14.43%. [2026-04-15T15:10:09.902Z] Top recommended movies for user id 72: [2026-04-15T15:10:09.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:10:09.902Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:10:09.902Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:10:09.902Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:10:09.902Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:10:09.902Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22382.166 ms) ====== [2026-04-15T15:10:09.902Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-15T15:10:09.902Z] GC before operation: completed in 140.893 ms, heap usage 232.784 MB -> 91.100 MB. [2026-04-15T15:10:12.921Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:10:16.020Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:10:20.187Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:10:23.199Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:10:25.163Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:10:26.114Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:10:28.092Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:10:30.053Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:10:30.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:10:30.053Z] The best model improves the baseline by 14.43%. [2026-04-15T15:10:31.016Z] Top recommended movies for user id 72: [2026-04-15T15:10:31.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:10:31.017Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:10:31.017Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:10:31.017Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:10:31.017Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:10:31.017Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20851.992 ms) ====== [2026-04-15T15:10:31.017Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-15T15:10:31.017Z] GC before operation: completed in 140.221 ms, heap usage 319.535 MB -> 91.412 MB. [2026-04-15T15:10:34.042Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:10:37.058Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:10:40.083Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:10:43.101Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:10:45.072Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:10:47.034Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:10:48.992Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:10:50.956Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:10:50.956Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:10:50.956Z] The best model improves the baseline by 14.43%. [2026-04-15T15:10:50.956Z] Top recommended movies for user id 72: [2026-04-15T15:10:50.956Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:10:50.956Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:10:50.956Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:10:50.956Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:10:50.956Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:10:50.956Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20542.315 ms) ====== [2026-04-15T15:10:50.956Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-15T15:10:51.906Z] GC before operation: completed in 144.072 ms, heap usage 361.281 MB -> 91.392 MB. [2026-04-15T15:10:54.932Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:10:57.994Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:11:01.008Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:11:04.027Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:11:05.978Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:11:07.926Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:11:11.340Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:11:13.317Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:11:13.317Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:11:13.317Z] The best model improves the baseline by 14.43%. [2026-04-15T15:11:13.317Z] Top recommended movies for user id 72: [2026-04-15T15:11:13.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:11:13.317Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:11:13.317Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:11:13.317Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:11:13.317Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:11:13.317Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22182.858 ms) ====== [2026-04-15T15:11:13.317Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-15T15:11:14.268Z] GC before operation: completed in 150.138 ms, heap usage 306.594 MB -> 91.382 MB. [2026-04-15T15:11:17.282Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:11:20.298Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:11:23.317Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:11:26.340Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:11:28.304Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:11:30.260Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:11:32.221Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:11:34.196Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:11:34.196Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:11:34.196Z] The best model improves the baseline by 14.43%. [2026-04-15T15:11:34.196Z] Top recommended movies for user id 72: [2026-04-15T15:11:34.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:11:34.196Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:11:34.196Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:11:34.196Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:11:34.196Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:11:34.196Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20707.547 ms) ====== [2026-04-15T15:11:34.196Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-15T15:11:35.148Z] GC before operation: completed in 145.997 ms, heap usage 132.640 MB -> 91.386 MB. [2026-04-15T15:11:38.249Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:11:41.311Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:11:44.328Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:11:47.351Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:11:49.302Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:11:51.255Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:11:53.208Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:11:55.164Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:11:55.164Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:11:55.164Z] The best model improves the baseline by 14.43%. [2026-04-15T15:11:56.114Z] Top recommended movies for user id 72: [2026-04-15T15:11:56.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:11:56.114Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:11:56.114Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:11:56.114Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:11:56.114Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:11:56.114Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20918.933 ms) ====== [2026-04-15T15:11:56.114Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-15T15:11:56.114Z] GC before operation: completed in 152.486 ms, heap usage 567.909 MB -> 91.732 MB. [2026-04-15T15:11:59.129Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:12:02.344Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:12:05.359Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:12:08.389Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:12:10.349Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:12:12.345Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:12:17.114Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:12:18.070Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:12:19.032Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:12:19.032Z] The best model improves the baseline by 14.43%. [2026-04-15T15:12:19.032Z] Top recommended movies for user id 72: [2026-04-15T15:12:19.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:12:19.032Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:12:19.032Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:12:19.032Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:12:19.032Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:12:19.032Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23142.306 ms) ====== [2026-04-15T15:12:19.032Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-15T15:12:19.032Z] GC before operation: completed in 141.631 ms, heap usage 246.172 MB -> 91.339 MB. [2026-04-15T15:12:22.048Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:12:25.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:12:29.223Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:12:32.238Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:12:34.192Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:12:36.153Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:12:38.145Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:12:40.097Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:12:40.097Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:12:40.097Z] The best model improves the baseline by 14.43%. [2026-04-15T15:12:40.097Z] Top recommended movies for user id 72: [2026-04-15T15:12:40.097Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:12:40.097Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:12:40.097Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:12:40.097Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:12:40.097Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:12:40.097Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21238.061 ms) ====== [2026-04-15T15:12:40.097Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-15T15:12:40.097Z] GC before operation: completed in 147.884 ms, heap usage 925.145 MB -> 95.245 MB. [2026-04-15T15:12:43.110Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:12:46.131Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:12:50.280Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:12:53.323Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:12:55.326Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:12:56.277Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:12:59.287Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:13:00.265Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:13:01.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:13:01.220Z] The best model improves the baseline by 14.43%. [2026-04-15T15:13:01.220Z] Top recommended movies for user id 72: [2026-04-15T15:13:01.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:13:01.220Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:13:01.220Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:13:01.220Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:13:01.220Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:13:01.220Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20739.949 ms) ====== [2026-04-15T15:13:01.220Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-15T15:13:01.220Z] GC before operation: completed in 147.393 ms, heap usage 186.719 MB -> 91.362 MB. [2026-04-15T15:13:04.238Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-15T15:13:07.251Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-15T15:13:11.398Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-15T15:13:15.344Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-15T15:13:16.291Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-15T15:13:18.247Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-15T15:13:21.288Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-15T15:13:22.243Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-15T15:13:23.194Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-04-15T15:13:23.194Z] The best model improves the baseline by 14.43%. [2026-04-15T15:13:23.194Z] Top recommended movies for user id 72: [2026-04-15T15:13:23.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-04-15T15:13:23.194Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-04-15T15:13:23.194Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-04-15T15:13:23.194Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-04-15T15:13:23.194Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-04-15T15:13:23.194Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21634.036 ms) ====== [2026-04-15T15:13:23.194Z] ----------------------------------- [2026-04-15T15:13:23.194Z] renaissance-movie-lens_0_PASSED [2026-04-15T15:13:23.194Z] ----------------------------------- [2026-04-15T15:13:23.194Z] [2026-04-15T15:13:23.194Z] TEST TEARDOWN: [2026-04-15T15:13:23.194Z] Nothing to be done for teardown. [2026-04-15T15:13:23.194Z] renaissance-movie-lens_0 Finish Time: Wed Apr 15 15:13:26 2026 Epoch Time (ms): 1776266006207